---
title: "dashboard"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
source: embed
---
```{r setup, include=FALSE}
library(tidyverse)
library(p8105.datasets)
library(plotly)
data("ny_noaa")
ny_noaa = ny_noaa %>%
na.omit()
library(flexdashboard)
```
Column {data-width=650}
-----------------------------------------------------------------------
### Chart A
```{r}
ny_noaa %>%
filter(id == "USC00300023" | id == "USC00300028" | id == "USC00300055" | id == "USC00300063" | id == "USC00300085") %>%
sample_n(5000) %>%
mutate(text_label = str_c("date:", date)) %>%
plot_ly(x = ~snow, y = ~snwd, color = ~id,
type = "scatter", mode = "markers", text = ~text_label, alpha = 0.5) %>%
layout(title = "Snow depth vs. snow fall for several weather stations")
```
Column {data-width=350}
-----------------------------------------------------------------------
### Chart B
```{r}
ny_noaa %>%
filter(id == "USC00300023" | id == "USC00300028" | id == "USC00300055" | id == "USC00300063" | id == "USC00300085") %>%
plot_ly(y = ~tmax, color = ~id, type = "box", colors = "viridis") %>% layout(title = "The boxplot of max temperature for \n several weather stations")
```
### Chart C
```{r}
ny_noaa %>%
sample_n(2000) %>%
count(id) %>%
mutate(id = fct_reorder(id, n)) %>%
plot_ly(x = ~id, y = ~n, color = ~id, type = "bar", colors = "viridis") %>%
layout(title = "The number of observations for \n
several weather stations")
```